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Hertog, Steffen – Sociological Methods & Research, 2023
In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…
Descriptors: Case Studies, Generalization, Prediction, Mixed Methods Research
Olanipekun, Oluwaseun L.; Zhao, JuLong; Wang, Rongdong; A. Sedory, Stephen; Singh, Sarjinder – Sociological Methods & Research, 2023
In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing…
Descriptors: Correlation, Smoking, Thinking Skills, Health Behavior
Elbers, Benjamin – Sociological Methods & Research, 2023
An important topic in the study of segregation are comparisons across space and time. This article extends current approaches in segregation measurement by presenting a five-term decomposition procedure that can be used to understand more clearly why segregation has changed or differs between two comparison points. Two of the five terms account…
Descriptors: Social Science Research, School Segregation, Equal Opportunities (Jobs), Residential Patterns
Zapata, Zakry; Sedory, Stephen A.; Singh, Sarjinder – Sociological Methods & Research, 2022
In this article, we consider the use of the zero-truncated binomial distribution as a randomization device while estimating the population proportion of a sensitive characteristic. The resultant new estimator based on the zero-truncated binomial distribution is then compared to its competitors from both the efficiency and the protection point of…
Descriptors: Social Science Research, Research Methodology, Comparative Analysis, Statistical Analysis
Ragan, Daniel T.; Osgood, D. Wayne; Ramirez, Nayan G.; Moody, James; Gest, Scott D. – Sociological Methods & Research, 2022
The current study compares estimates of peer influence from an analytic approach that explicitly address network processes with those from traditional approaches that do not. Using longitudinal network data from the PROmoting School-community-university Partnerships to Enhance Resilience peers project, we obtain estimates of social influence on…
Descriptors: Peer Influence, Social Networks, Network Analysis, Regression (Statistics)
Kuha, Jouni; Mills, Colin – Sociological Methods & Research, 2020
It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the…
Descriptors: Comparative Analysis, Regression (Statistics), Research Problems, Computation
Davydov, Youri; Greselin, Francesca – Sociological Methods & Research, 2020
The observed increase in economic inequality, where the major concern is relative to the huge growth of the highest incomes, motivates to revisit classical measures of inequality and to offer new ways to synthesize the variability of the entire income distribution. The idea is to provide policy makers a way to contrast the economic position of the…
Descriptors: Social Differences, Poverty, Advantaged, Measurement Techniques
Mohammed, M. A.; Ibrahim, A. I. N.; Siri, Z.; Noor, N. F. M. – Sociological Methods & Research, 2019
In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to…
Descriptors: Monte Carlo Methods, Calculus, Sampling, Simulation
Block, Per; Stadtfeld, Christoph; Snijders, Tom A. B. – Sociological Methods & Research, 2019
Two approaches for the statistical analysis of social network generation are widely used; the tie-oriented exponential random graph model (ERGM) and the stochastic actor-oriented model (SAOM) or Siena model. While the choice for either model by empirical researchers often seems arbitrary, there are important differences between these models that…
Descriptors: Statistical Analysis, Social Networks, Models, Network Analysis
Fullerton, Andrew S.; Xu, Jun – Sociological Methods & Research, 2018
Adjacent category logit models are ordered regression models that focus on comparisons of adjacent categories. These models are particularly useful for ordinal response variables with categories that are of substantive interest. In this article, we consider unconstrained and constrained versions of the partial adjacent category logit model, which…
Descriptors: Regression (Statistics), Models, Classification, Comparative Analysis
Legleye, Stéphane; Charrance, Géraldine; Razafindratsima, Nicolas; Bajos, Nathalie; Bohet, Aline; Moreau, Caroline – Sociological Methods & Research, 2018
Background: Reliability of nonprobability online volunteer panels for epidemiological purposes has rarely been studied. Objectives: To assess the quality of a questionnaire on sexual and reproductive health (SRH) administered in a nonprobability Web panel and in a random telephone survey (n = 8,992; n = 8,437, age 16-49 years). Especially, we were…
Descriptors: Sexuality, Birth, Questionnaires, Adolescents
Grané, Aurea; Romera, Rosario – Sociological Methods & Research, 2018
Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area.…
Descriptors: Surveys, Data, Multidimensional Scaling, Robustness (Statistics)
Munck, Ingrid; Barber, Carolyn; Torney-Purta, Judith – Sociological Methods & Research, 2018
This study applies the alignment method, a technique for assessing measurement equivalence across many groups, to the analysis of adolescents' support for immigrants' rights in a pooled data set from the 1999 International Association for the Evaluation of Educational Achievement (IEA) Civic Education Study and the 2009 IEA International Civics…
Descriptors: Immigrants, Social Attitudes, Adolescent Attitudes, Comparative Analysis
Cieciuch, Jan; Davidov, Eldad; Algesheimer, René; Schmidt, Peter – Sociological Methods & Research, 2018
Measurement invariance is a necessary precondition for meaningful cross-country comparisons, and three levels have been differentiated: configural, metric, and scalar. Unfortunately, establishing the most stringent form, that is, scalar measurement invariance, across groups is difficult. Recently, Muthén and Asparouhov proposed testing for…
Descriptors: Foreign Countries, Measurement, Questionnaires, Surveys
Cabrera, Laura Y.; Reiner, Peter B. – Sociological Methods & Research, 2018
Between-subject design surveys are a powerful means of gauging public opinion, but critics rightly charge that closed-ended questions only provide slices of insight into issues that are considerably more complex. Qualitative research enables richer accounts but inevitably includes coder bias and subjective interpretations. To mitigate these…
Descriptors: Mixed Methods Research, Comparative Analysis, Content Analysis, Qualitative Research
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